stackprep-pro

stackprep-pro — interview & certification prep MCP server for any AI client

Works with any MCP-compatible client — Claude Code, Cursor, Cline, Windsurf, Continue.dev, Codex CLI, and any other client that supports the Model Context Protocol. No API key required — your existing AI subscription does the work.

Available on PyPI: uvx stackprep-pro

What it does

stackprep-pro is a pure state-management MCP server. It tracks your session and study packs on disk; your AI client (Claude, Cursor, Codex, etc.) handles all the question generation and scoring logic using the skill rules returned at session start.

• One question at a time — interview or certification mode
• Instant scoring with doc links after every answer
• Auto-detects wrong/partial answers and builds a named study pack
• Sessions and study packs saved to disk — resume anytime, sync via iCloud
• Resume in-progress sessions across conversations or devices

Install

uvx stackprep-pro

Requires uv. Install it with curl -LsSf https://astral.sh/uv/install.sh | sh.

Configure your MCP client

The config is the same for every client — just point to uvx stackprep-pro. No API keys, no authentication, no accounts — stackprep stores everything as plain files on your own machine.

Prerequisite: install uv (it provides uvx):

curl -LsSf https://astral.sh/uv/install.sh | sh

Claude Code

Recommended — register it globally so it works from any directory (the normal way you'd use it):

claude mcp add stackprep --scope user -- uvx stackprep-pro

Then just run claude from anywhere. Claude Code works as normal — stackprep stays out of the way until you want it. To start a prep session, type stackprep-pro (or ask to prep for an interview or certification). You can also register it per-project instead of globally; both work and can coexist.

{
  "mcpServers": {
    "stackprep": {
      "command": "uvx",
      "args": ["stackprep-pro"]
    }
  }
}

Cursor

Create ~/.cursor/mcp.json (global — works from any directory):

{
  "mcpServers": {
    "stackprep": {
      "command": "uvx",
      "args": ["stackprep-pro"]
    }
  }
}

Then open Cursor → Cmd+Shift+J → MCP tab — stackprep should appear with a green dot.

Codex CLI

Add to ~/.codex/config.yaml:

mcpServers:
  stackprep:
    command: uvx
    args:
      - stackprep-pro

Any other MCP-compatible client

The pattern is always the same:

{
  "mcpServers": {
    "stackprep": {
      "command": "uvx",
      "args": ["stackprep-pro"]
    }
  }
}

Paste this into whatever config format your client uses (Cline, Windsurf, Continue.dev, etc.).

Study pack storage

Study packs and sessions are saved to ~/.stackprep/ by default.

Sync across devices with iCloud (recommended on macOS):

# Add to ~/.zshrc or ~/.zprofile
export STACKPREP_PACKS_DIR="$HOME/Documents/stackprep-packs"

~/Documents is synced to iCloud by default on macOS (requires iCloud Drive > Desktop & Documents enabled). Your packs will be available on any Mac signed into your Apple ID — and readable via the Files app on iPhone.

Custom path:

export STACKPREP_PACKS_DIR="/path/to/your/folder"

Point this at any Dropbox, Google Drive, or OneDrive folder for cross-platform sync.

Environment variables

Skills (modes)

Tools

Session flow

Certification:

list_sessions()                                          ← always called first
→ start_session(mode="certification", cert_name="AWS SAA-C03")
→ [AI generates questions one at a time]
→ submit_answer(session_id, result="correct"|"partial"|"incorrect", question="...")
→ ... repeat ...
→ end_session(session_id)
→ save_study_pack(session_id, name="aws-saa-week1", content="...")

Interview:

list_sessions()                                          ← always called first
→ start_session(mode="interview", cv="...", jd="...")
→ [AI generates questions one at a time]
→ submit_answer(session_id, result="correct"|"partial"|"incorrect", question="...")
→ ... repeat ...
→ end_session(session_id)
→ save_study_pack(session_id, name="python-interview-june", content="...")

Resuming a session:

list_sessions()                → shows in-progress sessions
→ resume_session(session_id)  → loads state + skill rules, continues where you left off

Loading a saved study pack:

list_study_packs()
→ load_study_pack(name="aws-saa-week1")

Session persistence

Every session is saved to disk on every update. At the start of each new conversation the AI automatically calls list_sessions and asks whether you want to resume an in-progress session or start a new one. Sessions are stored in ~/.stackprep/sessions/ (or your custom STACKPREP_PACKS_DIR).

Also available as a Claude Code plugin

For Claude Projects or direct Claude.ai use, the behaviour rules are also available as a standalone skill file at plugins/stackprep — no install needed.

Contributing / Development

git clone https://github.com/youngpada1/stackprep-pro
cd stackprep-pro

# Install dependencies
uv sync

# Activate the pre-commit hook (auto-regenerates README on every commit)
git config core.hooksPath .githooks

# Run the server locally
uv run stackprep-pro

The README is auto-generated from server.py tool definitions and the skills files in src/stackprep_pro/skills/. To regenerate manually:

uv run python scripts/generate_readme.py

License

MIT — Flavia Fauconnet